article · International Journal of Advanced Computer Science and Applications
This paper explores how integrating Generative Artificial Intelligence (AI) can advance Agile software development and address project management challenges. Agile methods prioritise iterative progress, adaptability, and collaboration, aiming for rapid delivery and efficient value creation. The research suggests that Generative AI can streamline development workflows, foster innovation, and mitigate common issues in project management. By using Generative AI for tasks such as code generation, automated testing, and predictive analytics, Agile teams can boost productivity, speed up delivery cycles, and improve software quality. Additionally, Generative AI can enhance collaboration, support decision-making, and manage uncertainties inherent in Agile projects, offering insights for organisations to transform their software development practices.
This research is important because it highlights how advanced AI can make software development faster, more efficient, and more adaptable. By integrating Generative AI, organisations can improve how they build software, respond better to changes, and deliver higher quality products, which is crucial in today's rapidly evolving technological landscape.
This research suggests the development of tools or platforms that integrate Generative AI capabilities into existing Agile software development frameworks. Potential users include software development organisations and Agile teams seeking to enhance productivity, automate tasks like code generation and testing, and improve project management. This appears to be applied research, indicating a pathway towards new features in development environments or specialised AI-powered assistants for software engineers.
AI-generated from the published abstract. Always read the original work before citing.
Agile software development emphasizes iterative progress, adaptability, and stakeholder collaboration. It champions flexible planning, continuous improvement, and rapid delivery, aiming to respond swiftly to change and deliver value efficiently. Integrating Generative Artificial Intelligence (AI) into Agile software development processes presents a promising avenue for overcoming project management challenges and enhancing the efficiency and effectiveness of software development endeavors. This paper explores the potential benefits of leveraging Generative AI in Agile methodologies, aiming to streamline development workflows, foster innovation, and mitigate common project management challenges. By harnessing the capabilities of Generative AI for tasks such as code generation, automated testing, and predictive analytics, Agile teams can augment their productivity, accelerate delivery cycles, and improve the quality of software products. Additionally, Generative AI offers opportunities for enhancing collaboration, facilitating decision-making, and addressing uncertainties inherent in Agile project management. Through an in-depth analysis of the integration of Generative AI within Agile frameworks, this paper provides insights into how organizations can harness the transformative potential of AI to advance Agile software development practices and navigate the complexities of modern software projects more effectively.
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DOI: 10.14569/ijacsa.2024.0150306
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